Maximum-Likelihood Estimation of Beat Signal Parameters in Automotive Radar
Masterarbeit, Bachelorarbeit
Conventional FMCW radar systems operate across
coarse Doppler and range bins to estimate target parameters,
which can be inaccurate for targets with similar range-Doppler-
azimuth signatures. Leveraging the sparsity of beat signals in the
time-frequency-beamspace representation of the measurement
data, we present a sequential algorithm for jointly estimating
the polynomial coefficients and azimuth directions of multiple
beat signals.
